image/svg+xml
Project title: Explore And Visualize Yelp
Demo url: http://www-scf.usc.edu/~jingo/Jings/
Group name: Jings'
Team members names:
Jing Ouyang
jingo@usc.edu
Explore and visualize Yelp restaurant dataset
Who: Those interested in the food culture in different cities
Why: Stories and features for each city based on its restaurants data
About
Who Did What
Data and Topic Needed
Other kernels in Kaggle using the same dataset
focus on restaurants
focus on specific cities
arrange and tell the story in a sensible way
Research
Others did not:
Story
Features of city --> The unique points --> Bar chart/Stacked bar chart
Story of cuisine --> Rating and counts of cuisines --> Coxcomb chart
Busy time of city --> Restaurants open and closing time --> Light map
Choice of Forms
The dot maps of Madison and Charlotte are missing because didn't find geojson
Some cities have only 1 feature
We found more insights, but have limited time to visualize
Could Have Done Better
Thank You! Q&A
Design Process
What We Built1
What We Built2
What We Built3
Coxcomb chart to show cuisine/counts/rating
d3 coxcomb chart, d3 transitions:filters, d3 stack layout
What We Built4
Light map
ArcGIS, video
What We Built5
User Interaction
ALL the element are responsive and phone-friendly
The project was completed by angular.js
Used Git to increment changes
Others
Details1
The coxcomb chart axis would zoom in & out if the change of data range
is not too small or too big, and would be redrawn otherwise
Have to choose at least two cuisine types to draw the coxcomb chart
Details2
Jing Zhou
jzhou510@usc.edu
Tong Wu
twu665@usc.edu
charts, maps, stories
Jing Ouyang
coxcomb, style, layout
Jing Zhou
Tong Wu
light maps, integration
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